Deep Learning and XAI Techniques for Anomaly Detection: Integrate the theory and practice of deep anomaly explainability

Table of Contents

1. Understanding Deep Learning Anomaly Detection
2. Understanding Explainable AI
3. Natural Language Processing Anomaly Explainability
4. Time Series Anomaly Explainability
5. Computer Vision Anomaly Explainability
6. Differentiating Intrinsic versus Post Hoc Explainability
7. Backpropagation Versus Perturbation Explainability
8. Model-Agnostic versus Model-Specific Explainability
9. Explainability Evaluation Schemes